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  • LATEST MANUSCRIPTS IN Machine Learning with Applications
  • Seyedhamidreza Alaie, Subhi J Al'Aref. Application of deep neural networks for inferring pressure in polymeric acoustic transponders/sensors. Machine learning with applications. 2023, 13:
    Cited : 0
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  • Thanh Thi Nguyen, Mohamed Abdelrazek, Dung Tien Nguyen, Sunil Aryal, Duc Thanh Nguyen, Sandeep Reddy, Quoc Viet Hung Nguyen, Amin Khatami, Thanh Tam Nguyen, Edbert B Hsu, Samuel Yang. Origin of novel coronavirus causing COVID-19: A computational biology study using artificial intelligence. Machine learning with applications. 2022, 9: 100328
    Cited : 2
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  • Yuxin Wen, Md Fashiar Rahman, Yan Zhuang, Michael Pokojovy, Honglun Xu, Peter McCaffrey, Alexander Vo, Eric Walser, Scott Moen, Tzu-Liang Bill Tseng. Time-to-event modeling for hospital length of stay prediction for COVID-19 patients. Machine learning with applications. 2022, 9: 100365
    Cited : 2
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  • Shahrokh Shahi, Flavio H Fenton, Elizabeth M Cherry. Prediction of chaotic time series using recurrent neural networks and reservoir computing techniques: A comparative study. Machine learning with applications. 2022, 8:
    Cited : 29
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  • Paul M Kump, Junyi Xia, Sridhar Yaddanapudi, Erwei Bai. An automated treatment plan alert system to safeguard cancer treatments in radiation therapy. Machine learning with applications. 2022, 10:
    Cited : 0
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  • Chenqi Guo, Tamara L Smith, Qianli Feng, Fabian Benitez-Quiroz, Frank Vicini, Douglas Arthur, Julia White, Aleix Martinez. A fully automatic framework for evaluating cosmetic results of breast conserving therapy. Machine learning with applications. 2022, 10:
    Cited : 3
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  • Syed Muhammad Ishraque Osman, Ahmed Sabit. Predictors of COVID-19 vaccination rate in USA: A machine learning approach. Machine learning with applications. 2022, 10: 100408
    Cited : 5
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  • Mert Seker, Anssi Männistö, Alexandros Iosifidis, Jenni Raitoharju. Automatic social distance estimation for photographic studies: Performance evaluation, test benchmark, and algorithm. Machine learning with applications. 2022, 10: 100427
    Cited : 4
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  • Heba Elgazzar, Kyle Spurlock, Tanner Bogart. Evolutionary clustering and community detection algorithms for social media health surveillance. Machine learning with applications. 2021, 6: 100084
    Cited : 6
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  • Sankaraiah Sreeramula, Deny Rahardjo. Estimating COVID-19 in Real-time: An Indonesia health policy perspective. Machine learning with applications. 2021, 6: 100136
    Cited : 2
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  • Daniel Arias-Garzón, Jesús Alejandro Alzate-Grisales, Simon Orozco-Arias, Harold Brayan Arteaga-Arteaga, Mario Alejandro Bravo-Ortiz, Alejandro Mora-Rubio, Jose Manuel Saborit-Torres, Joaquim Ángel Montell Serrano, Maria de la Iglesia Vayá, Oscar Cardona-Morales, Reinel Tabares-Soto. COVID-19 detection in X-ray images using convolutional neural networks. Machine learning with applications. 2021, 6: 100138
    Cited : 55
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  • L A Bugnon, J Raad, G A Merino, C Yones, F Ariel, D H Milone, G Stegmayer. Deep Learning for the discovery of new pre-miRNAs: Helping the fight against COVID-19. Machine learning with applications. 2021, 6: 100150
    Cited : 10
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  • Tom R P Bishop, Stephanie von Hinke, Bruce Hollingsworth, Amelia A Lake, Heather Brown, Thomas Burgoine. Automatic classification of takeaway food outlet cuisine type using machine (deep) learning. Machine learning with applications. 2021, 6: None
    Cited : 4
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